Title :
A New Approach to Word Sense Disambiguation in MT System
Author :
Zheng, Zhang ; Shu, Zhu
Author_Institution :
Sch. of Foreign Languages, Beijing Technol. & Bus. Univ., Beijing, China
fDate :
March 31 2009-April 2 2009
Abstract :
The word sense disambiguation (WSD) is a tough issue in natural language processing. This paper introduces and contrasts the main approaches of WSD prevailing in the world, and analyzes their advantages and disadvantages briefly. Then the author focuses on the vector space model (VSM), and furthermore, puts forward a new method that uses the approach of multi-level sentence similarity (MLSS) computation in the VSM. The new method improves the accuracy of VSM method and overcomes the "bag of words" problem in VSM.
Keywords :
language translation; natural language processing; vectors; machine translation; multilevel sentence similarity computation; natural language processing; vector space model; word sense disambiguation; Computer science; Dictionaries; Educational institutions; Explosions; Large-scale systems; Learning systems; Natural language processing; Space technology; Supervised learning; Unsupervised learning; machine translation (MT); sentence similarity; vector space model (VSM); word sense disambiguation (WSD);
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.1105
